AGENT CALL · Mokabla · get_question
request ag_4972d186cecc

Decision

Allowed   R6 · Within policy

input
{"company":"instabug","question":"bounded-worker-pool"}

Result

{
  "slug": "bounded-worker-pool",
  "title": "Bounded Worker Pool",
  "difficulty": "hard",
  "tags": [
    "coding",
    "technical",
    "backend"
  ],
  "is_free": true,
  "locked": false,
  "frequency": 0.8,
  "last_reported_at": "2026-08-23T08:54:23.813715Z",
  "url": "https://www.mokabla.com/en/c/instabug/bounded-worker-pool",
  "agent": {
    "page": "https://www.mokabla.com/agent/en/c/instabug/bounded-worker-pool",
    "question": "https://www.mokabla.com/agent/_call/get_question?company=instabug&question=bounded-worker-pool"
  },
  "company": {
    "slug": "instabug",
    "name_en": "Instabug"
  },
  "body_md": "## Problem\nOur symbolication service receives a list of jobs (each one resolves the frames of a crash against a dSYM or mapping file) and must run them with **at most `limit` in flight at once**, return results in the original order, and stop scheduling new work as soon as any job fails while still letting the in-flight ones finish. Implement `runPool(tasks, limit)` without using a ready-made pool class. Each task is a function returning a value (or a promise in JavaScript). I will then ask what changes if `limit` should adapt to CPU load, and how you would write a test that *proves* the concurrency bound.\n\n## Examples\n**Example 1**\nInput: 6 tasks each sleeping 50 ms, `limit = 2`\nOutput: results `[r0..r5]` in order; total wall time roughly 150 ms (three waves of two); peak concurrency observed is exactly 2.\n\n**Example 2**\nInput: tasks `[ok, ok, throws, ok, ok]`, `limit = 2`\nOutput: the call rejects/raises with the error from task 2; tasks 3 and 4 may have started only if they were already in flight when task 2 failed, never afterwards.\n\n## Constraints\n- Do not use `Promise.all` on everything at once, `asyncio.Semaphore` as the *only* mechanism, or `ThreadPoolExecutor`\n- Results must be indexed by input position, not completion order\n- Must be unit-testable: expose a way to observe peak concurrency\n\n## What they look for\nA shared cursor over the task list, `limit` worker loops each pulling the next index, a cancellation flag checked before each pull, error propagation with the first error winning, and a clear explanation of why the cursor is safe (single-threaded event loop in Node vs. a lock in Ruby/Go/Python threads).",
  "follow_ups_md": "- Make `limit` adjustable while the pool is running.\n- Add per-task timeouts without leaking the underlying work.\n- How do you test 'never more than limit concurrent' deterministically?",
  "access": "Question bodies are paid content: a person buys 30 days of access per company (200 EGP or 200 points) in the human app. Agents get titles, tags and difficulty; bodies only for free questions."
}

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